It consists in basic metrics and functions to describe networks. I use as an example two synthetic networks.
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Updated
Oct 25, 2020 - Jupyter Notebook
It consists in basic metrics and functions to describe networks. I use as an example two synthetic networks.
Scientific Initiation project that intends to create a reaction network using a chemical database.
This repository contains the codes of a research exploring the potential for extrinsic bugs propagation within the NPM ecosystem
Swap Drainer
Repository to share the codes used for the partition-based spread identification performed for the paper "An efficient Partition-Based Approach to Identify and Scatter Multiple Relevant Spreaders in Complex Networks".
This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R
Code to generate L-clones of a graph.
The goal of this project is to provide a theoretic analysis, explaining the effect of homophily on Graph Neural Network Performace, that leverages on recent results in random family networks and their geodesics, by exploring the structural effects of homophily.
Infomap State Network Visualizer
Exploration and Analysis of the 'A Song of Ice and Fire' Book Series Social Network.
This repository consists of my Data Engineering Master Thesis work.
Size constrained community detection with Simulated Annealing
Submodule of the Portable Graph Library (PGL) to simulate percolation on a graph.
Harry Potter Character Interaction Networks: Analyzing character relationships, evolution, and narrative dynamics in J.K. Rowling's wizarding world using network science techniques and data from the Harry Potter series. Explore the magic of storytelling through data.
Assortativity quantifies the tendency of nodes being connected to similar nodes in a complex network.
Network Science assignment - Polimi, fall '23
Clustering a low-level event log of a process involves creating groups of related events based on their commonalities. In this case, the centrality score of a process's graph can be used to determine the similarity between events and to guide the clustering process.
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